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I'm using the RetinaFace custom parser from the face-recognition-deepstream repo and encountering several issues concerning the output on keypoint detection and bounding box accuracy, using DeepStream…
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Please make sure that this is a feature request.
**System information** (Please provide as much relevant information as possible)
- MediaPipe Solution (you are using): Face mesh
- Programming l…
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Are the faces aligned using landmarks when the model is being trained? If so, can you point me to the file/piece of code that aligns the faces (while training) as I can't seem to find MTCNN being usin…
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I am testing the different images and I experience significant drop of accuracy if I just feed the tilted face with >30*.
I am using the prepared examples in browser and node-js and effects are sim…
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Google's Face Mesh can be used here as a MTCNN alternative.
It is working really fast even on CPU and outputs very detailed 3D landmarks so the output gaze vector can be combined with 3D face in th…
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[INFO] ===== extract face landmarks from data/obama/ori_imgs =====
0%| | 1/8000 [00:07
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- [x] Face detection
- [x] Get the face [landmarks](http://auduno.github.com/clmtrackr/media/facemodel_numbering_new.png)
- [x] Transform/rotate/stretch face to landmarks
- [x] Save images in perso…
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When I try to run recognition I getting this:
File "faceswap/lib/FaceFilter.py", line 9, in __init__
self.encoding = face_recognition.face_encodings(image)[0] # Note: we take only first face…
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Hi,
Is there someone who knows that how to convert 3d landmark (e.g. 68pts) to a 3d reconstructed face. Like follw pic:
![image](https://user-images.githubusercontent.com/15263824/56631426-d6179a8…
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dotnet --version 6.0.200
CPU: AMD Ryzen 7 1700x 8 core
GPU: NVIDIA GeForce GTX 1080, Driver version 30.0.14.7212
CUDA v11.1
FaceRecognitionDotNet-master\examples\Benchmark>
**This is wi…